What it really takes to build a future-proof AI architecture?

Live Webinar

As AI workloads increasingly shift to the edge, building a scalable, efficient, and future-ready AI chips is no longer optional—it's essential. This webinar explores the latest trends in Edge AI, highlighting the growing demand for intelligent processing closer to the data source and the critical role of NPUs in enabling this shift.

We’ll dive deep into what it means to future-proof Edge AI chips, focusing on architectural flexibility, power efficiency, and the ability to scale across diverse applications—from industrial sensors and smart cameras to autonomous systems. At the heart of this discussion is the Ceva-NeuPro-M scalable NPU IP architecture, a cutting-edge solution designed to meet the evolving needs of AI at the edge. Learn how the NeuPro-M modular design, advanced SDK support, and multi-core scalability empower developers to stay ahead of the curve in a rapidly changing AI landscape.

Whether you're a chip designer, AI architect, or product strategist, this session will equip you with the insights needed to architect AI solutions that are not just powerful today—but ready for tomorrow.

Join Ceva's experts to learn about:

• Key trends shaping Edge AI – from generative models to agentic systems, and their impact on future product and system design
• How modern NPU architecture delivers high performance with power efficiency, optimizing compute, memory, and precision for edge constraints
• How NPU modular design ensures scalability and adaptability for future AI workloads and evolving market needs
• Practical examples of how an AI SDK streamlines model deployment and optimization across edge applications

Edge AI system architects, chip designers, and product managers developing intelligent edge devices across various applications, looking to optimize performance and efficiency while future-proofing AI-driven solutions.